Amazon·Product Manager·Onsite - Behavioral / Leadership
- Describe a time when you continuously improved a project over time.
“I had a decent story ready but fumbled the 'continuous' part.”
FAANG / Big Tech
Most of these Amazon write-ups come from Software Engineers (1,092), then Data Scientists (182) and Product Managers (165). The most reported rounds are the technical phone screen (618), the behavioral / leadership round (309), the online assessment (228) and the system design round (159).
1581 interview notes · updated Oct 2026
“I had a decent story ready but fumbled the 'continuous' part.”
“This felt like a frontend system design question disguised as a coding question and I kept trying to write code when they really wanted me to think out loud about the API surface first.”
“The SQL part was fine, month truncation plus a GROUP BY and a conditional aggregate.”
“This one sprawled in every direction.”
“Spent way too long second-guessing what 'median' means for even-length subsequences before just going with lower-middle index.”
“My first instinct was to just iterate over the dict keys and do a find-replace for each one, which they immediately pushed back on.”
“The key insight I kept circling around was: a task can only be eliminated by one with strictly more bots, so any task that isn't strictly dominated by another has a shot.”
“I started with the ingestion side and spent probably too long on the data pipeline before touching the recommendation layer.”
“I went straight to customer impact and kind of forgot to zoom out to society or unintended consequences.”
“I knew memoized backtracking was the move but fumbled the explanation for a minute.”